netflix | Docker based Netflix proxy | Continuous Deployment library

 by   dgageot Shell Version: Current License: No License

kandi X-RAY | netflix Summary

kandi X-RAY | netflix Summary

netflix is a Shell library typically used in Devops, Continuous Deployment, Docker applications. netflix has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Docker based Netflix proxy
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              netflix has a low active ecosystem.
              It has 18 star(s) with 11 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              netflix has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of netflix is current.

            kandi-Quality Quality

              netflix has no bugs reported.

            kandi-Security Security

              netflix has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              netflix does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              netflix releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            netflix Key Features

            No Key Features are available at this moment for netflix.

            netflix Examples and Code Snippets

            No Code Snippets are available at this moment for netflix.

            Community Discussions

            QUESTION

            Linear interpolation to find y values
            Asked 2021-Jun-15 at 12:37

            I have a dataframe:

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:37

            The format of df seems weird (data points in columns, not rows).

            Below is not the cleanest solution at all:

            Source https://stackoverflow.com/questions/67986112

            QUESTION

            How to inject custom Http client to Spring Cloud openfeign?
            Asked 2021-Jun-14 at 03:22

            I'm trying to provide CloseableHttpClient to Spring Cloud OpenFeign. Spring Cloud Open Feign Documentationsays it supports CloeableHttpClient. Spring documentation doesn't give any example of actually replacing the HTTP client.

            Basically, I'm providing SSLContext to the HTTP client and I want Feign to use this SSLContext loaded client. How to inject this CloseableHttpClient into the Feign?

            Following is my relevant configuration:

            1. I'm using SpringBootApp
            ...

            ANSWER

            Answered 2021-Jun-09 at 05:01

            You need to put @Configuration on top of FeignConfig which should make it work I believe.

            Source https://stackoverflow.com/questions/67896483

            QUESTION

            How to cron an AppleScript (with arguments) that accesses Reminders
            Asked 2021-Jun-13 at 13:13

            I wrote an AppleScript to synch my Reminders (via export to JSON). It runs great... from the Script Editor. As soon as I tried to run it on the command line via osascript, I discovered it hits a wall when it tries to access reminders. After maybe a minute and a half, I get this error:

            ...

            ANSWER

            Answered 2021-Jun-07 at 06:12

            Wrap your script with timeout of 3600 seconds (1 hour). Your script time outs with default time = 2 minutes (120 seconds) per command. So,:

            Source https://stackoverflow.com/questions/67864593

            QUESTION

            Extract data based on various conditions
            Asked 2021-Jun-10 at 02:10

            I have a dataframe:

            ...

            ANSWER

            Answered 2021-Jun-10 at 02:10

            Let's continue with @wwnde solution with some changes in it:

            Source https://stackoverflow.com/questions/67912947

            QUESTION

            error: records are not supported in -source 8
            Asked 2021-Jun-10 at 00:47

            I'm using the Micronaut framework on Spring Boot. Below is my full Gradle Scan: https://scans.gradle.com/s/d442mq4icm7qe/console-log?anchor=19

            Here is my my Gradle Build I currently have set Java 16 in IntelliJ appropriately.

            ...

            ANSWER

            Answered 2021-Jun-10 at 00:47

            Your Gradle build is targeting 1.8 (Java 8).

            You need to change this (or remove it) if you are using the Java records feature released in Java 16, previewed in Java 14 and in Java 15.

            Source https://stackoverflow.com/questions/67912917

            QUESTION

            Compare and extract values from two datasets
            Asked 2021-Jun-09 at 23:13

            I have a dataframe:

            ...

            ANSWER

            Answered 2021-Jun-09 at 22:18
            s=df.set_index(['Name' , 'Segment','Axis']).stack().unstack('Axis').reset_index(level=2, drop=True)#melt dataframe 1
            df3=pd.merge(s, df2, on=['Name',  'Segment'], how='left')#merge melted datframewith df2
            df3[df3['slope']>df3['Optimal_Cost']].groupby(['Name',  'Segment']).first().reset_index()#Filter as required
            
                       
            
            
            Name         Segment  slope    x    y     Optimal_Cost
            0  Amazon        1      120.0   2.0  0.8           115
            1  Amazon        2      72.0    6.0  3.0            60
            

            Source https://stackoverflow.com/questions/67912149

            QUESTION

            Match values in different data frame and find closest value(s)
            Asked 2021-Jun-09 at 20:11

            I have a dataframe:

            ...

            ANSWER

            Answered 2021-Jun-09 at 19:23

            You can use pd.merge_asof to perform this type of merge quickly. However there is some preprocessing you'll need to do to your data.

            • reshape df1 to match the format of the expected output (e.g. where "slope", "x", and "y" are columns instead of rows
            • drop NaNs from the merge keys AND sort both df1 and df2 by their merge keys (this is a requirement of pd.merge_asof that we need to do explicitly). Merge keys are going to be the "slope" and "optimal cost" columns.
            • Ensure that the merge keys are of the same dtype (in this case they should both be floats, meaning we'll need to convert "optimal cost" to a float type instead of int.
            • perform the merge operation

            Source https://stackoverflow.com/questions/67910216

            QUESTION

            Multiple based on different data frame
            Asked 2021-Jun-09 at 16:29

            I have two dataframes: df1:

            ...

            ANSWER

            Answered 2021-Jun-09 at 16:29

            QUESTION

            Random Number Choosing On React.js
            Asked 2021-Jun-08 at 07:00

            I am doing a Netflix Clone and I need to change the Banner in every page refresh. I integrated movie details from TMDb. So I want to choose a random number between 0 and 19. I need that random number to display the movie on banner by the number in an array. This array contains movie details. I used Math.random() function and an error came that response is not defined. How Do I solve This. Please Help Me.

            Here Is My Code:

            ...

            ANSWER

            Answered 2021-Jun-08 at 06:51
             const results = response.data.results
            

            Source https://stackoverflow.com/questions/67882480

            QUESTION

            How to Choose A Random Number From An Array Using React?
            Asked 2021-Jun-07 at 09:37

            I am doing a clone of Netflix using React.js for learning React.js. I integrated an API from TMDb and for the case of banner image , name , and description , I have an array of 20 Objects which contains all details of 20 movies , and when the page is refreshed , I need to change the Banner into another random movie in the array. I don't Know how to select a random object by its number. Please Help Me To do this.

            Here Is My Code :

            ...

            ANSWER

            Answered 2021-Jun-07 at 09:37

            You can use Math.random() which gives you a random number between 0 and 1. You then multiply it by the length of the resulting array and you round it to the lower integer using Math.floor(). You now have a random integer in the proper range that can be used to extract an element from the array itself.

            Source https://stackoverflow.com/questions/67869166

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install netflix

            You can download it from GitHub.

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            https://github.com/dgageot/netflix.git

          • CLI

            gh repo clone dgageot/netflix

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            git@github.com:dgageot/netflix.git

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